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沙发
楼主 |
发表于 2019-12-19 11:14:50
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只看该作者
日志文件传不了>_<
- D Save log info to: export.log
- I Set caffe proto to caffe
- I Load caffe model /home/lsc/CenterNet/CenterNet/models/ctdet_coco_dlav0_1x_2.prototxt
- I Parsing net parameters ...
- D import clients finished
- I Parsing layer parameters ...
- D Convert layer data
- D Convert layer conv1
- D Convert layer batch_norm1
- D Convert layer bn_scale1
- D Convert layer relu1
- D Convert layer conv2
- D Convert layer batch_norm2
- D Convert layer bn_scale2
- D Convert layer relu2
- D Convert layer conv3
- D Convert layer batch_norm3
- D Convert layer bn_scale3
- D Convert layer relu3
- D Convert layer max_pool1
- D Convert layer conv4
- D Convert layer batch_norm4
- D Convert layer bn_scale4
- D Convert layer conv5
- D Convert layer batch_norm5
- D Convert layer bn_scale5
- D Convert layer relu4
- D Convert layer conv6
- D Convert layer batch_norm6
- D Convert layer bn_scale6
- D Convert layer add1
- D Convert layer relu5
- D Convert layer conv7
- D Convert layer batch_norm7
- D Convert layer bn_scale7
- D Convert layer relu6
- D Convert layer conv8
- D Convert layer batch_norm8
- D Convert layer bn_scale8
- D Convert layer add2
- D Convert layer relu7
- D Convert layer cat1
- D Convert layer conv9
- D Convert layer batch_norm9
- D Convert layer bn_scale9
- D Convert layer relu8
- D Convert layer max_pool2
- D Convert layer conv10
- D Convert layer batch_norm10
- D Convert layer bn_scale10
- D Convert layer max_pool3
- D Convert layer conv11
- D Convert layer batch_norm11
- D Convert layer bn_scale11
- D Convert layer conv12
- D Convert layer batch_norm12
- D Convert layer bn_scale12
- D Convert layer relu9
- D Convert layer conv13
- D Convert layer batch_norm13
- D Convert layer bn_scale13
- D Convert layer add3
- D Convert layer relu10
- D Convert layer conv14
- D Convert layer batch_norm14
- D Convert layer bn_scale14
- D Convert layer relu11
- D Convert layer conv15
- D Convert layer batch_norm15
- D Convert layer bn_scale15
- D Convert layer add4
- D Convert layer relu12
- D Convert layer cat2
- D Convert layer conv16
- D Convert layer batch_norm16
- D Convert layer bn_scale16
- D Convert layer relu13
- D Convert layer conv17
- D Convert layer batch_norm17
- D Convert layer bn_scale17
- D Convert layer relu14
- D Convert layer conv18
- D Convert layer batch_norm18
- D Convert layer bn_scale18
- D Convert layer add5
- D Convert layer relu15
- D Convert layer conv19
- D Convert layer batch_norm19
- D Convert layer bn_scale19
- D Convert layer relu16
- D Convert layer conv20
- D Convert layer batch_norm20
- D Convert layer bn_scale20
- D Convert layer add6
- D Convert layer relu17
- D Convert layer cat3
- D Convert layer conv21
- D Convert layer batch_norm21
- D Convert layer bn_scale21
- D Convert layer relu18
- D Convert layer max_pool4
- D Convert layer conv22
- D Convert layer batch_norm22
- D Convert layer bn_scale22
- D Convert layer max_pool5
- D Convert layer conv23
- D Convert layer batch_norm23
- D Convert layer bn_scale23
- D Convert layer conv24
- D Convert layer batch_norm24
- D Convert layer bn_scale24
- D Convert layer relu19
- D Convert layer conv25
- D Convert layer batch_norm25
- D Convert layer bn_scale25
- D Convert layer add7
- D Convert layer relu20
- D Convert layer conv26
- D Convert layer batch_norm26
- D Convert layer bn_scale26
- D Convert layer relu21
- D Convert layer conv27
- D Convert layer batch_norm27
- D Convert layer bn_scale27
- D Convert layer add8
- D Convert layer relu22
- D Convert layer cat4
- D Convert layer conv28
- D Convert layer batch_norm28
- D Convert layer bn_scale28
- D Convert layer relu23
- D Convert layer conv29
- D Convert layer batch_norm29
- D Convert layer bn_scale29
- D Convert layer relu24
- D Convert layer conv30
- D Convert layer batch_norm30
- D Convert layer bn_scale30
- D Convert layer add9
- D Convert layer relu25
- D Convert layer conv31
- D Convert layer batch_norm31
- D Convert layer bn_scale31
- D Convert layer relu26
- D Convert layer conv32
- D Convert layer batch_norm32
- D Convert layer bn_scale32
- D Convert layer add10
- D Convert layer relu27
- D Convert layer cat5
- D Convert layer conv33
- D Convert layer batch_norm33
- D Convert layer bn_scale33
- D Convert layer relu28
- D Convert layer max_pool6
- D Convert layer conv34
- D Convert layer batch_norm34
- D Convert layer bn_scale34
- D Convert layer conv35
- D Convert layer batch_norm35
- D Convert layer bn_scale35
- D Convert layer relu29
- D Convert layer conv36
- D Convert layer batch_norm36
- D Convert layer bn_scale36
- D Convert layer add11
- D Convert layer relu30
- D Convert layer conv37
- D Convert layer batch_norm37
- D Convert layer bn_scale37
- D Convert layer relu31
- D Convert layer conv38
- D Convert layer batch_norm38
- D Convert layer bn_scale38
- D Convert layer add12
- D Convert layer relu32
- D Convert layer cat6
- D Convert layer conv39
- D Convert layer batch_norm39
- D Convert layer bn_scale39
- D Convert layer relu33
- D Convert layer conv40
- D Convert layer batch_norm40
- D Convert layer bn_scale40
- D Convert layer relu34
- D Convert layer conv_transpose1
- D Convert layer cat7
- D Convert layer conv41
- D Convert layer batch_norm41
- D Convert layer bn_scale41
- D Convert layer relu35
- D Convert layer conv42
- D Convert layer batch_norm42
- D Convert layer bn_scale42
- D Convert layer relu36
- D Convert layer conv_transpose2
- D Convert layer conv43
- D Convert layer batch_norm43
- D Convert layer bn_scale43
- D Convert layer relu37
- D Convert layer conv_transpose3
- D Convert layer cat8
- D Convert layer conv44
- D Convert layer batch_norm44
- D Convert layer bn_scale44
- D Convert layer relu38
- D Convert layer cat9
- D Convert layer conv45
- D Convert layer batch_norm45
- D Convert layer bn_scale45
- D Convert layer relu39
- D Convert layer conv46
- D Convert layer batch_norm46
- D Convert layer bn_scale46
- D Convert layer relu40
- D Convert layer conv_transpose4
- D Convert layer conv47
- D Convert layer batch_norm47
- D Convert layer bn_scale47
- D Convert layer relu41
- D Convert layer conv_transpose5
- D Convert layer conv48
- D Convert layer batch_norm48
- D Convert layer bn_scale48
- D Convert layer relu42
- D Convert layer conv_transpose6
- D Convert layer cat10
- D Convert layer conv49
- D Convert layer batch_norm49
- D Convert layer bn_scale49
- D Convert layer relu43
- D Convert layer cat11
- D Convert layer conv50
- D Convert layer batch_norm50
- D Convert layer bn_scale50
- D Convert layer relu44
- D Convert layer cat12
- D Convert layer conv51
- D Convert layer batch_norm51
- D Convert layer bn_scale51
- D Convert layer relu45
- D Convert layer conv52
- D Convert layer relu46
- D Convert layer conv53
- D Convert layer conv54
- D Convert layer relu47
- D Convert layer conv55
- D Convert layer conv56
- D Convert layer relu48
- D Convert layer conv57
- I Parsing connections ...
- D Connect: data_0,0 to output_244,0,
- D Connect: conv1_1,0 to batch_norm1_2,0
- D Connect: batch_norm1_2,0 to bn_scale1_3,0
- D Connect: bn_scale1_3,0 to relu1_4,0
- D Connect: relu1_4,0 to conv2_5,0
- D Connect: conv2_5,0 to batch_norm2_6,0
- D Connect: batch_norm2_6,0 to bn_scale2_7,0
- D Connect: bn_scale2_7,0 to relu2_8,0
- D Connect: relu2_8,0 to conv3_9,0
- D Connect: conv3_9,0 to batch_norm3_10,0
- D Connect: batch_norm3_10,0 to bn_scale3_11,0
- D Connect: bn_scale3_11,0 to relu3_12,0
- D Connect: relu3_12,0 to max_pool1_13,0
- D Connect: relu3_12,0 to conv5_17,0
- D Connect: max_pool1_13,0 to conv4_14,0
- D Connect: conv4_14,0 to batch_norm4_15,0
- D Connect: batch_norm4_15,0 to bn_scale4_16,0
- D Connect: bn_scale4_16,0 to add1_24,1
- D Connect: conv5_17,0 to batch_norm5_18,0
- D Connect: batch_norm5_18,0 to bn_scale5_19,0
- D Connect: bn_scale5_19,0 to relu4_20,0
- D Connect: relu4_20,0 to conv6_21,0
- D Connect: conv6_21,0 to batch_norm6_22,0
- D Connect: batch_norm6_22,0 to bn_scale6_23,0
- D Connect: bn_scale6_23,0 to add1_24,0
- D Connect: add1_24,0 to relu5_25,0
- D Connect: relu5_25,0 to conv7_26,0
- D Connect: relu5_25,0 to add2_33,1
- D Connect: relu5_25,0 to cat1_35,1
- D Connect: conv7_26,0 to batch_norm7_27,0
- D Connect: batch_norm7_27,0 to bn_scale7_28,0
- D Connect: bn_scale7_28,0 to relu6_29,0
- D Connect: relu6_29,0 to conv8_30,0
- D Connect: conv8_30,0 to batch_norm8_31,0
- D Connect: batch_norm8_31,0 to bn_scale8_32,0
- D Connect: bn_scale8_32,0 to add2_33,0
- D Connect: add2_33,0 to relu7_34,0
- D Connect: relu7_34,0 to cat1_35,0
- D Connect: cat1_35,0 to conv9_36,0
- D Connect: conv9_36,0 to batch_norm9_37,0
- D Connect: batch_norm9_37,0 to bn_scale9_38,0
- D Connect: bn_scale9_38,0 to relu8_39,0
- D Connect: relu8_39,0 to max_pool2_40,0
- D Connect: relu8_39,0 to max_pool3_44,0
- D Connect: relu8_39,0 to conv12_48,0
- D Connect: relu8_39,0 to cat10_220,0
- D Connect: max_pool2_40,0 to conv10_41,0
- D Connect: max_pool2_40,0 to cat3_89,2
- D Connect: conv10_41,0 to batch_norm10_42,0
- D Connect: batch_norm10_42,0 to bn_scale10_43,0
- D Connect: bn_scale10_43,0 to output_245,0,
- D Connect: max_pool3_44,0 to conv11_45,0
- D Connect: conv11_45,0 to batch_norm11_46,0
- D Connect: batch_norm11_46,0 to bn_scale11_47,0
- D Connect: bn_scale11_47,0 to add3_55,1
- D Connect: conv12_48,0 to batch_norm12_49,0
- D Connect: batch_norm12_49,0 to bn_scale12_50,0
- D Connect: bn_scale12_50,0 to relu9_51,0
- D Connect: relu9_51,0 to conv13_52,0
- D Connect: conv13_52,0 to batch_norm13_53,0
- D Connect: batch_norm13_53,0 to bn_scale13_54,0
- D Connect: bn_scale13_54,0 to add3_55,0
- D Connect: add3_55,0 to relu10_56,0
- D Connect: relu10_56,0 to conv14_57,0
- D Connect: relu10_56,0 to add4_64,1
- D Connect: relu10_56,0 to cat2_66,1
- D Connect: conv14_57,0 to batch_norm14_58,0
- D Connect: batch_norm14_58,0 to bn_scale14_59,0
- D Connect: bn_scale14_59,0 to relu11_60,0
- D Connect: relu11_60,0 to conv15_61,0
- D Connect: conv15_61,0 to batch_norm15_62,0
- D Connect: batch_norm15_62,0 to bn_scale15_63,0
- D Connect: bn_scale15_63,0 to add4_64,0
- D Connect: add4_64,0 to relu12_65,0
- D Connect: relu12_65,0 to cat2_66,0
- D Connect: cat2_66,0 to conv16_67,0
- D Connect: conv16_67,0 to batch_norm16_68,0
- D Connect: batch_norm16_68,0 to bn_scale16_69,0
- D Connect: bn_scale16_69,0 to relu13_70,0
- D Connect: relu13_70,0 to conv17_71,0
- D Connect: relu13_70,0 to add5_78,1
- D Connect: relu13_70,0 to cat3_89,3
- D Connect: conv17_71,0 to batch_norm17_72,0
- D Connect: batch_norm17_72,0 to bn_scale17_73,0
- D Connect: bn_scale17_73,0 to relu14_74,0
- D Connect: relu14_74,0 to conv18_75,0
- D Connect: conv18_75,0 to batch_norm18_76,0
- D Connect: batch_norm18_76,0 to bn_scale18_77,0
- D Connect: bn_scale18_77,0 to add5_78,0
- D Connect: add5_78,0 to relu15_79,0
- D Connect: relu15_79,0 to conv19_80,0
- D Connect: relu15_79,0 to add6_87,1
- D Connect: relu15_79,0 to cat3_89,1
- D Connect: conv19_80,0 to batch_norm19_81,0
- D Connect: batch_norm19_81,0 to bn_scale19_82,0
- D Connect: bn_scale19_82,0 to relu16_83,0
- D Connect: relu16_83,0 to conv20_84,0
- D Connect: conv20_84,0 to batch_norm20_85,0
- D Connect: batch_norm20_85,0 to bn_scale20_86,0
- D Connect: bn_scale20_86,0 to add6_87,0
- D Connect: add6_87,0 to relu17_88,0
- D Connect: relu17_88,0 to cat3_89,0
- D Connect: cat3_89,0 to conv21_90,0
- D Connect: conv21_90,0 to batch_norm21_91,0
- D Connect: batch_norm21_91,0 to bn_scale21_92,0
- D Connect: bn_scale21_92,0 to relu18_93,0
- D Connect: relu18_93,0 to max_pool4_94,0
- D Connect: relu18_93,0 to max_pool5_98,0
- D Connect: relu18_93,0 to conv24_102,0
- D Connect: relu18_93,0 to cat8_195,0
- D Connect: relu18_93,0 to conv46_205,0
- D Connect: max_pool4_94,0 to conv22_95,0
- D Connect: max_pool4_94,0 to cat5_143,2
- D Connect: conv22_95,0 to batch_norm22_96,0
- D Connect: batch_norm22_96,0 to bn_scale22_97,0
- D Connect: bn_scale22_97,0 to output_246,0,
- D Connect: max_pool5_98,0 to conv23_99,0
- D Connect: conv23_99,0 to batch_norm23_100,0
- D Connect: batch_norm23_100,0 to bn_scale23_101,0
- D Connect: bn_scale23_101,0 to add7_109,1
- D Connect: conv24_102,0 to batch_norm24_103,0
- D Connect: batch_norm24_103,0 to bn_scale24_104,0
- D Connect: bn_scale24_104,0 to relu19_105,0
- D Connect: relu19_105,0 to conv25_106,0
- D Connect: conv25_106,0 to batch_norm25_107,0
- D Connect: batch_norm25_107,0 to bn_scale25_108,0
- D Connect: bn_scale25_108,0 to add7_109,0
- D Connect: add7_109,0 to relu20_110,0
- D Connect: relu20_110,0 to conv26_111,0
- D Connect: relu20_110,0 to add8_118,1
- D Connect: relu20_110,0 to cat4_120,1
- D Connect: conv26_111,0 to batch_norm26_112,0
- D Connect: batch_norm26_112,0 to bn_scale26_113,0
- D Connect: bn_scale26_113,0 to relu21_114,0
- D Connect: relu21_114,0 to conv27_115,0
- D Connect: conv27_115,0 to batch_norm27_116,0
- D Connect: batch_norm27_116,0 to bn_scale27_117,0
- D Connect: bn_scale27_117,0 to add8_118,0
- D Connect: add8_118,0 to relu22_119,0
- D Connect: relu22_119,0 to cat4_120,0
- D Connect: cat4_120,0 to conv28_121,0
- D Connect: conv28_121,0 to batch_norm28_122,0
- D Connect: batch_norm28_122,0 to bn_scale28_123,0
- D Connect: bn_scale28_123,0 to relu23_124,0
- D Connect: relu23_124,0 to conv29_125,0
- D Connect: relu23_124,0 to add9_132,1
- D Connect: relu23_124,0 to cat5_143,3
- D Connect: conv29_125,0 to batch_norm29_126,0
- D Connect: batch_norm29_126,0 to bn_scale29_127,0
- D Connect: bn_scale29_127,0 to relu24_128,0
- D Connect: relu24_128,0 to conv30_129,0
- D Connect: conv30_129,0 to batch_norm30_130,0
- D Connect: batch_norm30_130,0 to bn_scale30_131,0
- D Connect: bn_scale30_131,0 to add9_132,0
- D Connect: add9_132,0 to relu25_133,0
- D Connect: relu25_133,0 to conv31_134,0
- D Connect: relu25_133,0 to add10_141,1
- D Connect: relu25_133,0 to cat5_143,1
- D Connect: conv31_134,0 to batch_norm31_135,0
- D Connect: batch_norm31_135,0 to bn_scale31_136,0
- D Connect: bn_scale31_136,0 to relu26_137,0
- D Connect: relu26_137,0 to conv32_138,0
- D Connect: conv32_138,0 to batch_norm32_139,0
- D Connect: batch_norm32_139,0 to bn_scale32_140,0
- D Connect: bn_scale32_140,0 to add10_141,0
- D Connect: add10_141,0 to relu27_142,0
- D Connect: relu27_142,0 to cat5_143,0
- D Connect: cat5_143,0 to conv33_144,0
- D Connect: conv33_144,0 to batch_norm33_145,0
- D Connect: batch_norm33_145,0 to bn_scale33_146,0
- D Connect: bn_scale33_146,0 to relu28_147,0
- D Connect: relu28_147,0 to max_pool6_148,0
- D Connect: relu28_147,0 to conv35_152,0
- D Connect: relu28_147,0 to cat7_180,0
- D Connect: relu28_147,0 to conv42_185,0
- D Connect: max_pool6_148,0 to conv34_149,0
- D Connect: max_pool6_148,0 to cat6_170,2
- D Connect: conv34_149,0 to batch_norm34_150,0
- D Connect: batch_norm34_150,0 to bn_scale34_151,0
- D Connect: bn_scale34_151,0 to add11_159,1
- D Connect: conv35_152,0 to batch_norm35_153,0
- D Connect: batch_norm35_153,0 to bn_scale35_154,0
- D Connect: bn_scale35_154,0 to relu29_155,0
- D Connect: relu29_155,0 to conv36_156,0
- D Connect: conv36_156,0 to batch_norm36_157,0
- D Connect: batch_norm36_157,0 to bn_scale36_158,0
- D Connect: bn_scale36_158,0 to add11_159,0
- D Connect: add11_159,0 to relu30_160,0
- D Connect: relu30_160,0 to conv37_161,0
- D Connect: relu30_160,0 to add12_168,1
- D Connect: relu30_160,0 to cat6_170,1
- D Connect: conv37_161,0 to batch_norm37_162,0
- D Connect: batch_norm37_162,0 to bn_scale37_163,0
- D Connect: bn_scale37_163,0 to relu31_164,0
- D Connect: relu31_164,0 to conv38_165,0
- D Connect: conv38_165,0 to batch_norm38_166,0
- D Connect: batch_norm38_166,0 to bn_scale38_167,0
- D Connect: bn_scale38_167,0 to add12_168,0
- D Connect: add12_168,0 to relu32_169,0
- D Connect: relu32_169,0 to cat6_170,0
- D Connect: cat6_170,0 to conv39_171,0
- D Connect: conv39_171,0 to batch_norm39_172,0
- D Connect: batch_norm39_172,0 to bn_scale39_173,0
- D Connect: bn_scale39_173,0 to relu33_174,0
- D Connect: relu33_174,0 to conv40_175,0
- D Connect: conv40_175,0 to batch_norm40_176,0
- D Connect: batch_norm40_176,0 to bn_scale40_177,0
- D Connect: bn_scale40_177,0 to relu34_178,0
- D Connect: relu34_178,0 to conv_transpose1_179,0
- D Connect: conv_transpose1_179,0 to cat7_180,1
- D Connect: cat7_180,0 to conv41_181,0
- D Connect: conv41_181,0 to batch_norm41_182,0
- D Connect: batch_norm41_182,0 to bn_scale41_183,0
- D Connect: bn_scale41_183,0 to relu35_184,0
- D Connect: relu35_184,0 to conv43_190,0
- D Connect: conv42_185,0 to batch_norm42_186,0
- D Connect: batch_norm42_186,0 to bn_scale42_187,0
- D Connect: bn_scale42_187,0 to relu36_188,0
- D Connect: relu36_188,0 to conv_transpose2_189,0
- D Connect: conv_transpose2_189,0 to cat8_195,1
- D Connect: conv43_190,0 to batch_norm43_191,0
- D Connect: batch_norm43_191,0 to bn_scale43_192,0
- D Connect: bn_scale43_192,0 to relu37_193,0
- D Connect: relu37_193,0 to conv_transpose3_194,0
- D Connect: conv_transpose3_194,0 to cat9_200,1
- D Connect: cat8_195,0 to conv44_196,0
- D Connect: conv44_196,0 to batch_norm44_197,0
- D Connect: batch_norm44_197,0 to bn_scale44_198,0
- D Connect: bn_scale44_198,0 to relu38_199,0
- D Connect: relu38_199,0 to cat9_200,0
- D Connect: relu38_199,0 to conv47_210,0
- D Connect: cat9_200,0 to conv45_201,0
- D Connect: conv45_201,0 to batch_norm45_202,0
- D Connect: batch_norm45_202,0 to bn_scale45_203,0
- D Connect: bn_scale45_203,0 to relu39_204,0
- D Connect: relu39_204,0 to conv48_215,0
- D Connect: conv46_205,0 to batch_norm46_206,0
- D Connect: batch_norm46_206,0 to bn_scale46_207,0
- D Connect: bn_scale46_207,0 to relu40_208,0
- D Connect: relu40_208,0 to conv_transpose4_209,0
- D Connect: conv_transpose4_209,0 to cat10_220,1
- D Connect: conv47_210,0 to batch_norm47_211,0
- D Connect: batch_norm47_211,0 to bn_scale47_212,0
- D Connect: bn_scale47_212,0 to relu41_213,0
- D Connect: relu41_213,0 to conv_transpose5_214,0
- D Connect: conv_transpose5_214,0 to cat11_225,1
- D Connect: conv48_215,0 to batch_norm48_216,0
- D Connect: batch_norm48_216,0 to bn_scale48_217,0
- D Connect: bn_scale48_217,0 to relu42_218,0
- D Connect: relu42_218,0 to conv_transpose6_219,0
- D Connect: conv_transpose6_219,0 to cat12_230,1
- D Connect: cat10_220,0 to conv49_221,0
- D Connect: conv49_221,0 to batch_norm49_222,0
- D Connect: batch_norm49_222,0 to bn_scale49_223,0
- D Connect: bn_scale49_223,0 to relu43_224,0
- D Connect: relu43_224,0 to cat11_225,0
- D Connect: cat11_225,0 to conv50_226,0
- D Connect: conv50_226,0 to batch_norm50_227,0
- D Connect: batch_norm50_227,0 to bn_scale50_228,0
- D Connect: bn_scale50_228,0 to relu44_229,0
- D Connect: relu44_229,0 to cat12_230,0
- D Connect: cat12_230,0 to conv51_231,0
- D Connect: conv51_231,0 to batch_norm51_232,0
- D Connect: batch_norm51_232,0 to bn_scale51_233,0
- D Connect: bn_scale51_233,0 to relu45_234,0
- D Connect: relu45_234,0 to conv52_235,0
- D Connect: relu45_234,0 to conv54_238,0
- D Connect: relu45_234,0 to conv56_241,0
- D Connect: conv52_235,0 to relu46_236,0
- D Connect: relu46_236,0 to conv53_237,0
- D Connect: conv53_237,0 to output_247,0,
- D Connect: conv54_238,0 to relu47_239,0
- D Connect: relu47_239,0 to conv55_240,0
- D Connect: conv55_240,0 to output_248,0,
- D Connect: conv56_241,0 to relu48_242,0
- D Connect: relu48_242,0 to conv57_243,0
- D Connect: conv57_243,0 to output_249,0,
- I Load net complete.
- D Process data_0 ...
- D RKNN output shape(input): (0 512 512 3)
- D Process output_244 ...
- D RKNN output shape(output): (0 512 512 3)
- D Process conv1_1 ...
- E Catch exception when loading caffe model: /home/lsc/CenterNet/CenterNet/models/ctdet_coco_dlav0_1x_2.prototxt!
- E Traceback (most recent call last):
- E File "rknn/api/rknn_base.py", line 287, in rknn.api.rknn_base.RKNNBase.load_caffe
- E File "rknn/base/RKNNlib/RKNNnetbuilder.py", line 281, in rknn.base.RKNNlib.RKNNnetbuilder.RKNNNetBuilder.build
- E File "rknn/base/RKNNlib/RKNNnetbuilder.py", line 300, in rknn.base.RKNNlib.RKNNnetbuilder.RKNNNetBuilder.build_layer
- E File "rknn/base/RKNNlib/RKNNnetbuilder.py", line 300, in rknn.base.RKNNlib.RKNNnetbuilder.RKNNNetBuilder.build_layer
- E File "rknn/base/RKNNlib/RKNNnetbuilder.py", line 300, in rknn.base.RKNNlib.RKNNnetbuilder.RKNNNetBuilder.build_layer
- E [Previous line repeated 35 more times]
- E File "rknn/base/RKNNlib/RKNNnetbuilder.py", line 306, in rknn.base.RKNNlib.RKNNnetbuilder.RKNNNetBuilder.build_layer
- E File "rknn/base/RKNNlib/layer/RKNNlayer.py", line 262, in rknn.base.RKNNlib.layer.RKNNlayer.RKNNLayer.compute_shape
- E File "rknn/base/RKNNlib/layer/convolution.py", line 62, in rknn.base.RKNNlib.layer.convolution.Convolution.compute_out_shape
- E AttributeError: 'NoneType' object has no attribute 'format'
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